Scrap the data of SIH 2020 Problem Statements
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Updated
Dec 26, 2019 - Python
Scrap the data of SIH 2020 Problem Statements
Smart India Hackathon 2020 Problem Statements
A simple static site showcasing the idea for an inventory management system for Airports Authority of India (AAI).
An SPA Web Application built using the ReactJS framework for record viewing, data analysis and feedback.
A Cross Platform Mobile Application serving as GIS for Financial Inclusion developed under SIH 2020.
An automatic attendance and classroom monitoring system, using cameras for activity recording of students.
Complete solution for job recommendation and identifying the true potential of each candidate.SIH problem statement
Supply chain management and Procurement(tenders), backed by Blockchain.
✅ CODAR is a framework built using PyTorch to analyze post (Text+Media) and predict cyber bullying and offensive content.
Centralized hub to manage and monitor police patrols on an interactive map
Android appliations made for both police and citizens. Maps crime-prone regions on Google maps using a machine learning model.
Team - Pushkar Maurya ; Tarun Kanojia ; Deepak Sagar ; Shivam Kumar Vimal ; Ravikant Sharma ; Sohail Khan
A Backbone NodeJS REST API which is consumed by both the Mobile app and the Desktop app to carry out the necessary data flow.
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